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Cardiorespiratory Fitness Reference Standards and Prognostic Stratification in Chinese Patients With Cardiovascular
Haoning Cui1, Xiaojun Wu1, Xiang Xie2
1Department of Cardiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China; Department of Cardiac Rehabilitation Center, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
This study establishes cardiorespiratory fitness (CRF) reference standards for Chinese patients with cardiovascular disease (CVD), improving risk stratification for major adverse cardiovascular events (MACE). The new standards show lower CRF in CVD patients compared to healthy adults, aiding personalized care.
Area of Science:
- Cardiology
- Preventive Medicine
- Clinical Exercise Physiology
Background:
- Cardiorespiratory fitness (CRF) is crucial for risk stratification in cardiovascular disease (CVD).
- Current CRF assessment in Chinese CVD patients uses non-specific standards, risking misclassification.
- Establishing tailored reference standards is vital for accurate risk assessment.
Purpose of the Study:
- To develop specific CRF reference standards for Chinese patients with CVD.
- To evaluate the utility of these standards in stratifying major adverse cardiovascular event (MACE) risk.
Main Methods:
- A multicenter retrospective study of 56,495 Chinese CVD patients (2018-2024).
- Derived sex- and age-specific CRF percentiles, comparing them to healthy adults.
- Validated prognostic performance for MACE using Kaplan-Meier and Cox regression in 6,317 patients.
Main Results:
- Established CRF reference standards showed significant differences across sex, age, and CVD subtype.
- Chinese CVD patients exhibited lower peak oxygen uptake (73.3%-84.0% of healthy levels).
- Lower CRF significantly correlated with increased MACE risk (HR 1.46-2.29) and reduced event-free survival.
Conclusions:
- The study presents the first CRF reference standards for Chinese CVD patients.
- These standards effectively stratify MACE risk, enhancing prognostic accuracy.
- Findings support data-driven functional risk assessment and personalized secondary prevention strategies.
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